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After receiving a Bachelor's degree in Computer Mathematics from the University of Djibouti in 2018, I went on to the University of Limoges to pursue a Master's degree in Information Security and Cryptology. This program provided me with advanced cryptology skills, both theoretically and practically. Additionally, the training projects (both research and practical) allowed me to become familiar with concepts such as quantum and post-quantum cryptography, PKI, and certifications. Moreover, I did my end-of-study internship in the SRCD department of the IMT Atlantic campus in Rennes.
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Cyber-physical systems (CPS) use a communication network to connect the physical and cyber worlds; this integration makes CPS vulnerable to certain cyber-physical attacks. As a result, CPSs are at the center of some of the most significant security vulnerabilities in recent history, such as Stuxnet or the Maroochy waste management systems. This thesis aims to establish detection methods against cyber-physical attacks. Our study focuses on industrial control systems (ICS), which is one of the applications of CPS.The primary goal of this thesis is to detect abnormalities (system failure, cyber-attacks) in industrial control systems using side channel physical leakage parameters. Sound, power consumption, electromagnetic, and so on are examples of physical leakage parameters. First, we review the existing sound anomaly detection methods for ICS in the literature to then propose sound-based anomaly detection approach. In addition, the use of electromagnetic as a leakage parameter is planned to strengthen the approach.